Snowflake Data Engineer: AI-Driven Cloud Platform

Deloittenz

Christchurch

On-site

NZD 110,000 - 140,000

Full time

3 days ago

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Job summary

Deloitte in Aotearoa is seeking a data engineer to design, develop, and maintain scalable Snowflake data solutions. You will build and optimize ETL/ELT pipelines, craft SQL-based transformations, and model data for reporting, analytics, and AI use cases.

You'll deploy data ingestion across cloud platforms, implement CI/CD and DevOps practices for Snowflake, collaborate with architects and business stakeholders, and leverage AI tools to accelerate development and improve quality.

Qualifications

Strong hands-on experience with Snowflake and advanced SQL.
Solid experience designing and building ETL/ELT pipelines and cloud-based data platforms.
Strong understanding of data warehousing and data modelling.
Familiarity with Snowflake capabilities including databases, schemas, warehouses, stages, streams, tasks, roles.
Experience with orchestration and transformation technologies such as Azure Data Factory, dbt, Airflow.
Experience with Git, CI/CD, and modern software engineering practices.
Experience with Python is advantageous.
Familiarity with infrastructure-as-code technologies.
Strong analytical, troubleshooting, and problem-solving skills.
Good communication and collaboration with stakeholders.
AI-enabled engineering mindset using tools such as CoCo, GitHub Copilot.
Strong focus on security, maintainability, accuracy, and engineering quality.

Responsibilities

Design, develop, and maintain scalable data solutions on Snowflake.
Build robust ETL/ELT pipelines for structured and semi-structured data.
Develop high-quality and reusable SQL-based data transformations and engineering frameworks.
Design dimensional and analytical data models to support reporting, analytics, and AI use cases.
Build and maintain data ingestion solutions integrating Snowflake with cloud platforms, APIs, databases, files, and other enterprise data sources.
Implement automated CI/CD pipelines and modern DevOps practices for Snowflake deployments.
Work with cloud technologies across Azure and/or AWS.
Implement appropriate RBAC, security, governance, data quality, and monitoring controls.
Monitor and optimise Snowflake workloads for performance, scalability, reliability, and cost.
Troubleshoot complex data pipeline and platform issues across development and production environments.
Collaborate with architects, analysts, engineers, and business stakeholders to translate requirements into practical technical solutions.
Contribute to engineering standards, reusable patterns, technical documentation, and continuous improvement.
Proactively leverage CoCo, GitHub Copilot, and other AI-powered development tools across solution design, coding, troubleshooting, code review, and documentation.
Identify opportunities to use AI and automation to reduce repetitive engineering effort and accelerate the development lifecycle.